Web Survey Bibliography
The computer's evolution has allowed the paper questionnaires used in personal interviews were replaced by electronic questionnaires, a method known as CAPI (Computer Assisted Personal Interviewing).The popularization of mobile devices benefited household surveys because it allowed the interviewer to carry the equipment to the households in order to approach the informant and collect the data.
Some of the benefits of electronic questionnaires are paper reduction and the possibility to automate complex interviews. On the other hand, the introduction of computerized data collection can cause problems as a consequence of poorly designed screens, which delay the collection of data or compromise the results. The use of mobile devices for collecting is another consideration, because of their physical limitations (small screens and keyboards) and because of the environment of use, since the mobile environment tends to distract more the users as a consequence of other activities that occur simultaneously.
This dissertation focused on making recommendations to facilitate the use of mobile devices, particularly PDAs (personal digital assistants), used in data collection. Observations were made in the fieldwork and testing of usability was conducted in a portable laboratory. Also photos and videos were registered and testimonies were collected from users.
From the analysis of results, two sets of recommendations were created: one for the individual who designs the content of questionnaires and another one for the developer of the system of data collection. Some screens were displayed to illustrate the recommendations.
The recommendations are intended to help the interviewers' work, data entry speed, help in reading the questions for better understanding of the informants, maximize the quality of data collected and reduce training costs.
Keywords: CAPI, personal interview, PDA, usability, household survey, interface, HCI, Census, ContinuousPNAD, electronic data collection.
A evolução dos computadores permitiu que os questionários em papel utilizados em entrevistas pessoais fossem substituídos por questionários eletrônicos, método conhecido como CAPI (Computer Assisted Personal Interviewing). A popularização dos dispositivos móveis beneficiou as pesquisas domiciliares, pois ofereceu ao entrevistador a oportunidade de se deslocar portando o equipamento até os domicílios para se aproximar do informante e coletar os dados.
Alguns dos benefícios dos questionários eletrônicos são a redução do papel e a possibilidade de automatizar entrevistas complexas. Por outro lado, a introdução da coleta de dados informatizada pode ocasionar inconvenientes causados por telas mal concebidas, que atrapalham e atrasam a captação dos dados pelo entrevistador ou comprometem os resultados da pesquisa. O uso de dispositivos móveis para a coleta é outra consideração, por causa de suas limitações físicas (telas e teclados reduzidos) e por causa do ambiente de uso, pois o ambiente móvel tende a distrair mais as pessoas em função de outras atividades que ocorrem ao mesmo tempo no local.
A presente dissertação teve como foco propor recomendações para facilitar o uso de dispositivos móveis, em especial PDAs (Personal digital assistants), utilizados em coletas de dados estatísticos. Para atingir esse fim, foram realizadas observações em
acompanhamentos de campo, testes de usabilidade em laboratório portátil, registros com fotos e vídeos e foram coletados depoimentos dos usuários. A partir da análise dos resultados, foram criados dois grupos de recomendações: um para o indivíduo que projeta o conteúdo dos questionários e outro para o projetista da interface do sistema de coleta de dados. Algumas telas foram desenhadas para exemplificar as recomendações.
Com as recomendações, pretende-se tornar o trabalho dos entrevistadores mais eficiente, agilizar a entrada dos dados, ajudar na leitura das perguntas para melhor entendimento dos informantes, maximizar a qualidade e a integridade dos dados coletados e reduzir custos com treinamentos.
Palavras-chave: CAPI, entrevista pessoal, PDA, usabilidade, pesquisa domiciliar, interface, IHC, Censo Demográfico, PNAD Contínua, questionário eletrônico.
Web Survey Bibliography (6359)
- Mobile Research Risk: What Happens to Data Quality When Respondents Use a Mobile Device for a Survey...; 2013; Baker-Prewitt, J.
- Internet-Based Recruitment to a Depression Prevention Intervention: Lessons From the Mood Memos Study...; 2013; Morgan, A. J., Jorm, A. F., Mackinnon, A. J.
- Challenges for Researchers Investigating Contraceptive Use and Pregnancy Intentions of Young Women Living...; 2013; Herbert, D. L., Loxton, D., Bateson, D., Weisberg, E., Lucke, J. C.
- Computer science security research and human subjects: Emerging considerations for research ethics boards...; 2013; Buchanan, E. A., Aycock, J., Dexter, S., Dittrich, D., Hvizdak, E. E.
- A standard for test reliability in group research; 2013; Ellis, J. L.
- Using a web-based survey tool to undertake a Delphi study: Application for nurse education research; 2013; Gill, F. J., Leslie, G. D., Grech, C., Latour, J. M.
- The comparison of road safety survey answers between web-panel and face-to-face; Dutch results of SARTRE...; 2013; Goldenbeld, C., de Craen, S.
- Addressing Survey Nonresponse Issues: Implications for ATE Principal Investigators, Evaluators, and...; 2013; Welch, W. W., Barlau, A. N.
- Pros and cons of virtual interviewers – vote in the discussion about surveytainment; 2013; Póltorak, M., Kowalski, J.
- Addressing Disclosure Concerns and Analysis Demands in a Real-Time Online Analytic System; 2013; Krenzke, T., Gentleman, J. F., Li, J., Moriarity, C.
- The General Survey System Initiative at RTI International: An Integrated System for the Collection and...; 2013; Thalji, L., Mitchell, S., Hill, C. A., Suresh, R., Speizer, H., Pratt, D.
- Consolidation and Standardization of Survey Operations at a Decentralized Federal Statistical Agency; 2013; Nealon, J., Gleaton, E.
- Examination of the equivalence of self-report survey-based paper-and-pencil and internet data collection...; 2013; Weigold, A., Weigold, I. K., Russell, E. J.
- An Assessment of Incentive Versus Survey Length Trade-offs in a Web Survey of Radiologists; 2013; Ziegenfuss, J. Y., Niederhauser, B. D., Kallmes, D., Beebe, T. J.
- Clarifying Categorical Concepts in a Web Survey.; 2013; Redline, C. D.
- Using Online and Paper Surveys - The Effectiveness of Mixed-Mode Methodology for Populations Over 50; 2013; De Bernardo, D. H., Curtis, A.
- The fish model: What factors affect participants while filling in an online questionnaire?; 2013; Mohamed, B., Lorenz, A., Pscheida, D.
- Interview Duration in Web Surveys: Integrating Different Levels of Explanation; 2013; Rossmann, J., Gummer, T.
- The monetary value of good questionnaire design; 2013; Tress, F.
- Technical and methodological meta-information on current practices in online research: A full population...; 2013; Burger, C., Stieger, S.
- Using interactive feedback to enhance response quality in Web surveys. The case of open-ended questions...; 2013; Emde, M., Fuchs, M.
- Reducing Response Order Effects in Check-All-That-Apply Questions by Use of Dynamic Tooltip Instructions...; 2013; Kunz, T., Fuchs, M.
- Slide to ruin data: How slider scales may negatively affect data quality and what to do about it; 2013; Funke, F.
- Measuring wages via a volunteer web survey – a cross-national analysis of item nonresponse; 2013; Steinmetz, S., Annmaria, B.
- Identifying and Mitigating Satisficing in Web Surveys: Some Experimental Evidence; 2013; Blumenstiel, J. E., Rossmann, J.
- Does one really know?: Avoiding noninformative answers in a reliable way.; 2013; de Leeuw, E. D., Boevee, A., Hox, J.
- Online Mixed Mode Surveying using a Responsive Design; 2013; Kissau, K.
- Sensitive Topics in PC and Mobile Web Surveys; 2013; Mavletova, A. M., Couper, M. P.
- Mobile Research Performance: How Mobile Respondents Differ from PC Users Concerning Interview Quality...; 2013; Schmidt, S., Wenzel, O.
- Who responds to website visitor satisfaction surveys?; 2013; Andreadis, I.
- Measuring working conditions in a volunteer web survey; 2013; de Pedraza, P., Villacampa, A.
- Sampling online communities: using triplets as basis for a (semi-) automated hyperlink web crawler.; 2013; Veny, Y.
- Prison break: Releasing offline experiments from methodological constraints by transforming them into...; 2013; Förstel, H., Manthei, K., Mohnen, A., Berger, G.
- Comparison of psychometric properties of internet versions of the Marlowe-Crowne Social Desirability...; 2013; Vesteinsdottir, V., Reips, U. -D., Joinson, A. N., Porsdottir, F.
- Why are you leaving me?? - Personality predictors of answering drop out in an online-study; 2013; Thielsch, M., Nestler, S., Back, M.
- Propensity Score Weighting – Can Personality Adjust for Selectivity?; 2013; Glantz, A., Greszki, R.
- Research Design as an Influencing Factor for Reliability in Online Market Research; 2013; Wengrzik, J., Theuner, G.
- Ethics, privacy and data security in web-based course evaluation; 2013; Salaschek, M., Meese, C., Thielsch, M.
- Seducing the respondent – how to optimise invitations in on-site online research?; 2013; Póltorak, M., Kowalski, J.
- Influence of mobile devices in online surveys; 2013; Maxl, E., Baumgartner, T.
- E-questionnaire in cross-sectional household surveys; 2013; Karaganis, M.
- GESIS Online Panel Pilot: Results from a Probability-Based Online Access Panel; 2013; Kaczmirek, L., Bandilla, W., Schaurer, I., Struminskaya, B., Weyandt, K.
- Online Survey – Research with children on advertising impact; 2013; Funkenweh, V., Busch, J., Amthor, A. L., Boeer, A., Gaedke, J.
- HTML5 and mobile Web surveys: A Web experiment on new input types; 2013; Funke, F.
- Metadata on the demographics of online research: Results from a full-range study of available online...; 2013; Burger, C., Stieger, S.
- How the screen-out influence the dropout of a commercial panel; 2013; Bartoli, B.
- Beyond methodology - some ethical implications of "doing research online"; 2013; Heise, N.
- Innovation in Data Collection: the Responsive Design Approach; 2013; Bianchi, A., Biffignandi, S.
- Break-off and attrition in the GIP amongst technologically experienced and inexperienced participants...; 2013; Blom, A. G., Bossert, D., Clark, V., Funke, F., Gebhard, F., Holthausen, A., Krieger, U., Wachenfeld...
- Nonresponse and Nonresponse Bias in a Probability-Based Internet Panel; 2013; Blom, A. G., Bossert, D., Funke, F., Gebhard, F., Holthausen, A., Krieger, U.

